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Energy Scales of Compositional Disorder in Alloy Semiconductors
[Image: see text] The study of semiconductor alloys is currently experiencing a renaissance. Alloying is often used to tune the material properties desired for device applications. It allows, for instance, to vary in broad ranges the band gaps responsible for the light absorption and light emission...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9773343/ https://www.ncbi.nlm.nih.gov/pubmed/36570194 http://dx.doi.org/10.1021/acsomega.2c05426 |
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author | Baranovskii, Sergei D. Nenashev, Alexey V. Hertel, Dirk Gebhard, Florian Meerholz, Klaus |
author_facet | Baranovskii, Sergei D. Nenashev, Alexey V. Hertel, Dirk Gebhard, Florian Meerholz, Klaus |
author_sort | Baranovskii, Sergei D. |
collection | PubMed |
description | [Image: see text] The study of semiconductor alloys is currently experiencing a renaissance. Alloying is often used to tune the material properties desired for device applications. It allows, for instance, to vary in broad ranges the band gaps responsible for the light absorption and light emission spectra of the materials. The price for this tunability is the extra disorder caused by alloying. In this mini-review, we address the features of the unavoidable disorder caused by statistical fluctuations of the alloy composition along the device. Combinations of material parameters responsible for the alloy disorder are revealed, based solely on the physical dimensions of the input parameters. Theoretical estimates for the energy scales of the disorder landscape are given separately for several kinds of alloys desired for applications in modern optoelectronics. Among these are perovskites, transition-metal dichalcogenide monolayers, and organic semiconductor blends. While theoretical estimates for perovskites and inorganic monolayers are compatible with experimental data, such a comparison is rather controversial for organic blends, indicating that more research is needed in the latter case. |
format | Online Article Text |
id | pubmed-9773343 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-97733432022-12-23 Energy Scales of Compositional Disorder in Alloy Semiconductors Baranovskii, Sergei D. Nenashev, Alexey V. Hertel, Dirk Gebhard, Florian Meerholz, Klaus ACS Omega [Image: see text] The study of semiconductor alloys is currently experiencing a renaissance. Alloying is often used to tune the material properties desired for device applications. It allows, for instance, to vary in broad ranges the band gaps responsible for the light absorption and light emission spectra of the materials. The price for this tunability is the extra disorder caused by alloying. In this mini-review, we address the features of the unavoidable disorder caused by statistical fluctuations of the alloy composition along the device. Combinations of material parameters responsible for the alloy disorder are revealed, based solely on the physical dimensions of the input parameters. Theoretical estimates for the energy scales of the disorder landscape are given separately for several kinds of alloys desired for applications in modern optoelectronics. Among these are perovskites, transition-metal dichalcogenide monolayers, and organic semiconductor blends. While theoretical estimates for perovskites and inorganic monolayers are compatible with experimental data, such a comparison is rather controversial for organic blends, indicating that more research is needed in the latter case. American Chemical Society 2022-12-08 /pmc/articles/PMC9773343/ /pubmed/36570194 http://dx.doi.org/10.1021/acsomega.2c05426 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Baranovskii, Sergei D. Nenashev, Alexey V. Hertel, Dirk Gebhard, Florian Meerholz, Klaus Energy Scales of Compositional Disorder in Alloy Semiconductors |
title | Energy Scales of
Compositional Disorder in Alloy Semiconductors |
title_full | Energy Scales of
Compositional Disorder in Alloy Semiconductors |
title_fullStr | Energy Scales of
Compositional Disorder in Alloy Semiconductors |
title_full_unstemmed | Energy Scales of
Compositional Disorder in Alloy Semiconductors |
title_short | Energy Scales of
Compositional Disorder in Alloy Semiconductors |
title_sort | energy scales of
compositional disorder in alloy semiconductors |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9773343/ https://www.ncbi.nlm.nih.gov/pubmed/36570194 http://dx.doi.org/10.1021/acsomega.2c05426 |
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